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Using Rao-blackwellised particle filter track 3D arm motion based on hierarchical limb model

  • Xue Song Yu*
  • , Jia Feng Liu
  • , Xiang Long Tang
  • , Jian Hua Huang
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

For improving the efficiency of human 3D tracking, we present an algorithm to track 3D Arm Motion. First, the Hierarchy Limb Model (HLM) is proposed based on the human 3D skeleton model. Second, via graph decomposition, the arm motion state space, modeled by HLM, can be discomposed into two low dimension subspaces: root nodes and leaf nodes. Finally, Rao-Blackwellised Particle Filter is used to estimate the 3D arm motion. The result of experiment shows that our algorithm can advance the computation efficiency.

Original languageEnglish
Title of host publication2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
Pages85-89
Number of pages5
DOIs
StatePublished - 2009
Event2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 - Los Angeles, CA, United States
Duration: 31 Mar 20092 Apr 2009

Publication series

Name2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
Volume6

Conference

Conference2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
Country/TerritoryUnited States
CityLos Angeles, CA
Period31/03/092/04/09

Keywords

  • 3D tracking
  • Hierarchy limb model
  • Rao-blackwellised particle filter

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